Analyse_singelcell_Ly49
Malassigne_Victor
11/9/2022
PCA
## PC_ 1
## Positive: Hmgb2, Lgals1, S100a6, S100a4, Stmn1, Pclaf, Hist1h2ap, Hist1h1b, Hist1h2ae, Mki67
## Negative: Rps24, Malat1, Rps27, Rps29, Tpt1, Rplp1, Rps15a, Rpl12, Rpl23, Ccl5
## PC_ 2
## Positive: S100a6, S100a4, Lgals1, S100a10, Tmsb4x, Lgals3, Crip1, Gzmb, Gzma, Ccl5
## Negative: Top2a, Hist1h2ae, Hist1h3c, Hist1h2ab, Hist1h2ap, Hist1h4d, Nusap1, Hist2h2ac, Mki67, Hist1h1b
## PC_ 3
## Positive: Ccl5, Malat1, Klrk1, Ikzf2, Fcer1g, Klra7, Cenpf, Klre1, Ube2c, Nusap1
## Negative: Dapl1, Dut, Rplp1, Ptma, Rps8, Lgals3, 1500009L16Rik, Rps20, Rrm2, Hsp90ab1
## PC_ 4
## Positive: Dapl1, Ifi27l2a, Malat1, Ube2c, Cenpa, Cenpf, Ccr9, Fos, Igfbp4, Cd8b1
## Negative: Ccl5, Ctla2a, Ly6c2, Klre1, Hist1h2ae, Klra7, Rrm2, Dut, Hist1h1b, Hist1h2ap
on sélectionne 11 CP pour la suite de l’analyse
UMAP
# DE pop not clusterization
###### Change lvl ######
condition <- as.data.frame(Singlet_norm@meta.data[["HTO_maxID"]]) #creer un df de tous tes idividus
Singlet_norm[["orig.ident"]] <- condition$`Singlet_norm@meta.data[["HTO_maxID"]]` #on passe la 1er colonne
Idents(Singlet_norm) <- condition$`Singlet_norm@meta.data[["HTO_maxID"]]` # reviens a faire un levels
levels(Singlet_norm)## [1] "VV-B8R" "Ly49p-CD8ab" "VV-Ly49p-CD8aa" "Ly49p-CD8aa"
## [5] "VV-Ly49p-CD8ab" "Naive" "Ly49n"###### DE ######
Singlet_norm.markers <- FindAllMarkers(Singlet_norm,
only.pos = F,
min.pct = 0.1,
logfc.threshold = 0.5,
min.diff.pct = 0.25)## Calculating cluster VV-B8R## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Calculating cluster Ly49p-CD8ab## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Calculating cluster VV-Ly49p-CD8aa## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Calculating cluster Ly49p-CD8aa## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Calculating cluster VV-Ly49p-CD8ab## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Calculating cluster Naive## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Calculating cluster Ly49n## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.###### Visualization ######
Singlet_norm.markers %>%
group_by(cluster) %>%
slice_max(n = 2, order_by = avg_log2FC)## # A tibble: 14 × 7
## # Groups: cluster [7]
## p_val avg_log2FC pct.1 pct.2 p_val_adj cluster gene
## <dbl> <dbl> <dbl> <dbl> <dbl> <fct> <chr>
## 1 0 4.30 0.961 0.251 0 VV-B8R S100a4
## 2 0 4.13 0.743 0.217 0 VV-B8R Hist1h2ap
## 3 3.60e-217 1.03 0.934 0.633 5.53e-213 Ly49p-CD8ab Fos
## 4 4.13e-174 0.878 0.878 0.576 6.34e-170 Ly49p-CD8ab Dusp2
## 5 0 1.23 0.835 0.282 0 VV-Ly49p-CD8aa Ikzf2
## 6 5.22e-174 1.03 0.725 0.388 8.01e-170 VV-Ly49p-CD8aa Klra7
## 7 8.81e-229 1.21 0.854 0.327 1.35e-224 Ly49p-CD8aa Ikzf2
## 8 6.08e-175 1.20 0.948 0.65 9.32e-171 Ly49p-CD8aa Fos
## 9 1.28e-180 0.589 0.806 0.485 1.97e-176 VV-Ly49p-CD8ab Ms4a4c
## 10 2.06e-174 -1.06 0.249 0.551 3.16e-170 VV-Ly49p-CD8ab Itga4
## 11 8.51e-236 1.55 0.574 0.171 1.31e-231 Naive Dapl1
## 12 5.71e-242 1.02 0.904 0.65 8.75e-238 Naive Lef1
## 13 9.33e- 12 0.533 0.65 0.386 1.43e- 7 Ly49n Tnfaip3
## 14 3.44e- 10 -0.825 0.153 0.407 5.28e- 6 Ly49n Klre1Singlet_norm.markers %>%
group_by(cluster) %>%
top_n(n = 10, wt = avg_log2FC) -> top10
DoHeatmap(Singlet_norm, features = top10$gene) + NoLegend()
reso = seq(0.3, 0.8, 0.1)
for (i in dims) {
print(paste0("UMAP Ã partir de ", i, " CP"))
Singlet_norm <- FindNeighbors(Singlet_norm, dims = 1:i, verbose = FALSE)
Singlet_norm <- FindClusters(Singlet_norm,
resolution = c(0, 0.1, 0.2, 0.3, 0.4, 0.5,
0.6, 0.7, 0.8, 0.9, 1, 1.1, 1.2))
a <- clustree(Singlet_norm, prefix = "SCT_snn_res.")+
ggtitle(label = paste0("Clustree avec " , i , " CP"))
print(a)
for (j in reso) {
Singlet_norm <- FindClusters(Singlet_norm, resolution = j)
Singlet_norm <- RunUMAP(Singlet_norm, dims = 1:i, assay = "SCT")
a<-DimPlot(Singlet_norm,
reduction = "umap",
pt.size = 1,
label = T)+
ggtitle(label = paste0( "UMAP " , i , "CP et resolution : ", j))
print(a)
}
}## [1] "UMAP Ã partir de 7 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9478
## Number of communities: 4
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9190
## Number of communities: 7
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8997
## Number of communities: 8
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8831
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8644
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8506
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8379
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8278
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8161
## Number of communities: 16
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8088
## Number of communities: 17
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7996
## Number of communities: 16
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7925
## Number of communities: 18
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8997
## Number of communities: 8
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:27:52 UMAP embedding parameters a = 0.9922 b = 1.112## 10:27:52 Read 8310 rows and found 7 numeric columns## 10:27:52 Using Annoy for neighbor search, n_neighbors = 30## 10:27:52 Building Annoy index with metric = cosine, n_trees = 50## 0% 10 20 30 40 50 60 70 80 90 100%## [----|----|----|----|----|----|----|----|----|----|## **************************************************|
## 10:27:52 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b241ebbaa2
## 10:27:52 Searching Annoy index using 9 threads, search_k = 3000
## 10:27:53 Annoy recall = 100%
## 10:27:53 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:27:53 Initializing from normalized Laplacian + noise (using irlba)
## 10:27:53 Commencing optimization for 500 epochs, with 320078 positive edges
## 10:28:06 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8831
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:28:08 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:28:08 Read 8310 rows and found 7 numeric columns
## 10:28:08 Using Annoy for neighbor search, n_neighbors = 30
## 10:28:08 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:28:09 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b25b2a037d
## 10:28:09 Searching Annoy index using 9 threads, search_k = 3000
## 10:28:09 Annoy recall = 100%
## 10:28:09 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:28:10 Initializing from normalized Laplacian + noise (using irlba)
## 10:28:10 Commencing optimization for 500 epochs, with 320078 positive edges
## 10:28:22 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8644
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:28:25 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:28:25 Read 8310 rows and found 7 numeric columns
## 10:28:25 Using Annoy for neighbor search, n_neighbors = 30
## 10:28:25 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:28:25 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2234b324d
## 10:28:25 Searching Annoy index using 9 threads, search_k = 3000
## 10:28:25 Annoy recall = 100%
## 10:28:26 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:28:26 Initializing from normalized Laplacian + noise (using irlba)
## 10:28:26 Commencing optimization for 500 epochs, with 320078 positive edges
## 10:28:38 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8506
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:28:41 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:28:41 Read 8310 rows and found 7 numeric columns
## 10:28:41 Using Annoy for neighbor search, n_neighbors = 30
## 10:28:41 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:28:41 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b21dd36f55
## 10:28:41 Searching Annoy index using 9 threads, search_k = 3000
## 10:28:42 Annoy recall = 100%
## 10:28:42 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:28:42 Initializing from normalized Laplacian + noise (using irlba)
## 10:28:42 Commencing optimization for 500 epochs, with 320078 positive edges
## 10:28:55 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8379
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:28:57 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:28:57 Read 8310 rows and found 7 numeric columns
## 10:28:57 Using Annoy for neighbor search, n_neighbors = 30
## 10:28:57 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:28:58 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2243244bf
## 10:28:58 Searching Annoy index using 9 threads, search_k = 3000
## 10:28:58 Annoy recall = 100%
## 10:28:58 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:28:59 Initializing from normalized Laplacian + noise (using irlba)
## 10:28:59 Commencing optimization for 500 epochs, with 320078 positive edges
## 10:29:11 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 251307
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8278
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:29:13 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:29:13 Read 8310 rows and found 7 numeric columns
## 10:29:13 Using Annoy for neighbor search, n_neighbors = 30
## 10:29:13 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:29:14 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2603f6a29
## 10:29:14 Searching Annoy index using 9 threads, search_k = 3000
## 10:29:14 Annoy recall = 100%
## 10:29:15 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:29:15 Initializing from normalized Laplacian + noise (using irlba)
## 10:29:15 Commencing optimization for 500 epochs, with 320078 positive edges
## 10:29:28 Optimization finished
## [1] "UMAP Ã partir de 9 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9480
## Number of communities: 5
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9206
## Number of communities: 8
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8975
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8812
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8664
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8532
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8407
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8293
## Number of communities: 14
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8199
## Number of communities: 14
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8091
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8011
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7928
## Number of communities: 17
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8975
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:30:19 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:30:19 Read 8310 rows and found 9 numeric columns
## 10:30:19 Using Annoy for neighbor search, n_neighbors = 30
## 10:30:19 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:30:20 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b25bf5db83
## 10:30:20 Searching Annoy index using 9 threads, search_k = 3000
## 10:30:20 Annoy recall = 100%
## 10:30:20 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:30:21 Initializing from normalized Laplacian + noise (using irlba)
## 10:30:21 Commencing optimization for 500 epochs, with 331120 positive edges
## 10:30:34 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8812
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:30:36 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:30:36 Read 8310 rows and found 9 numeric columns
## 10:30:36 Using Annoy for neighbor search, n_neighbors = 30
## 10:30:36 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:30:37 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b26a1ea49f
## 10:30:37 Searching Annoy index using 9 threads, search_k = 3000
## 10:30:37 Annoy recall = 100%
## 10:30:37 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:30:38 Initializing from normalized Laplacian + noise (using irlba)
## 10:30:38 Commencing optimization for 500 epochs, with 331120 positive edges
## 10:30:51 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8664
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:30:53 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:30:53 Read 8310 rows and found 9 numeric columns
## 10:30:53 Using Annoy for neighbor search, n_neighbors = 30
## 10:30:53 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:30:54 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b21c9f927
## 10:30:54 Searching Annoy index using 9 threads, search_k = 3000
## 10:30:54 Annoy recall = 100%
## 10:30:54 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:30:55 Initializing from normalized Laplacian + noise (using irlba)
## 10:30:55 Commencing optimization for 500 epochs, with 331120 positive edges
## 10:31:07 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8532
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:31:10 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:31:10 Read 8310 rows and found 9 numeric columns
## 10:31:10 Using Annoy for neighbor search, n_neighbors = 30
## 10:31:10 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:31:10 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b27304705b
## 10:31:10 Searching Annoy index using 9 threads, search_k = 3000
## 10:31:11 Annoy recall = 100%
## 10:31:11 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:31:11 Initializing from normalized Laplacian + noise (using irlba)
## 10:31:11 Commencing optimization for 500 epochs, with 331120 positive edges
## 10:31:24 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8407
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:31:26 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:31:26 Read 8310 rows and found 9 numeric columns
## 10:31:26 Using Annoy for neighbor search, n_neighbors = 30
## 10:31:26 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:31:27 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2286ca15b
## 10:31:27 Searching Annoy index using 9 threads, search_k = 3000
## 10:31:27 Annoy recall = 100%
## 10:31:28 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:31:28 Initializing from normalized Laplacian + noise (using irlba)
## 10:31:28 Commencing optimization for 500 epochs, with 331120 positive edges
## 10:31:41 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 257868
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8293
## Number of communities: 14
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:31:43 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:31:43 Read 8310 rows and found 9 numeric columns
## 10:31:43 Using Annoy for neighbor search, n_neighbors = 30
## 10:31:43 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:31:44 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b273d57218
## 10:31:44 Searching Annoy index using 9 threads, search_k = 3000
## 10:31:44 Annoy recall = 100%
## 10:31:44 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:31:45 Initializing from normalized Laplacian + noise (using irlba)
## 10:31:45 Commencing optimization for 500 epochs, with 331120 positive edges
## 10:31:57 Optimization finished
## [1] "UMAP Ã partir de 11 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9500
## Number of communities: 5
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9231
## Number of communities: 7
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8995
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8820
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8672
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8538
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8421
## Number of communities: 13
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8305
## Number of communities: 13
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8193
## Number of communities: 14
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8095
## Number of communities: 14
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7998
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7912
## Number of communities: 16
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8995
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:32:49 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:32:49 Read 8310 rows and found 11 numeric columns
## 10:32:49 Using Annoy for neighbor search, n_neighbors = 30
## 10:32:49 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:32:50 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b258a08ea9
## 10:32:50 Searching Annoy index using 9 threads, search_k = 3000
## 10:32:50 Annoy recall = 100%
## 10:32:50 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:32:51 Initializing from normalized Laplacian + noise (using irlba)
## 10:32:51 Commencing optimization for 500 epochs, with 337398 positive edges
## 10:33:04 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8820
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:33:06 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:33:06 Read 8310 rows and found 11 numeric columns
## 10:33:06 Using Annoy for neighbor search, n_neighbors = 30
## 10:33:06 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:33:07 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b214f626b4
## 10:33:07 Searching Annoy index using 9 threads, search_k = 3000
## 10:33:07 Annoy recall = 100%
## 10:33:07 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:33:08 Initializing from normalized Laplacian + noise (using irlba)
## 10:33:08 Commencing optimization for 500 epochs, with 337398 positive edges
## 10:33:21 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8672
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:33:23 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:33:23 Read 8310 rows and found 11 numeric columns
## 10:33:23 Using Annoy for neighbor search, n_neighbors = 30
## 10:33:23 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:33:24 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b22c66fe2c
## 10:33:24 Searching Annoy index using 9 threads, search_k = 3000
## 10:33:24 Annoy recall = 100%
## 10:33:24 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:33:25 Initializing from normalized Laplacian + noise (using irlba)
## 10:33:25 Commencing optimization for 500 epochs, with 337398 positive edges
## 10:33:38 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8538
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:33:40 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:33:40 Read 8310 rows and found 11 numeric columns
## 10:33:40 Using Annoy for neighbor search, n_neighbors = 30
## 10:33:40 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:33:41 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b21db9117a
## 10:33:41 Searching Annoy index using 9 threads, search_k = 3000
## 10:33:41 Annoy recall = 100%
## 10:33:41 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:33:42 Initializing from normalized Laplacian + noise (using irlba)
## 10:33:42 Commencing optimization for 500 epochs, with 337398 positive edges
## 10:33:55 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8421
## Number of communities: 13
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:33:57 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:33:57 Read 8310 rows and found 11 numeric columns
## 10:33:57 Using Annoy for neighbor search, n_neighbors = 30
## 10:33:57 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:33:58 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2612a6fd4
## 10:33:58 Searching Annoy index using 9 threads, search_k = 3000
## 10:33:58 Annoy recall = 100%
## 10:33:58 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:33:59 Initializing from normalized Laplacian + noise (using irlba)
## 10:33:59 Commencing optimization for 500 epochs, with 337398 positive edges
## 10:34:12 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266478
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8305
## Number of communities: 13
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:34:14 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:34:14 Read 8310 rows and found 11 numeric columns
## 10:34:14 Using Annoy for neighbor search, n_neighbors = 30
## 10:34:14 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:34:15 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b22913f922
## 10:34:15 Searching Annoy index using 9 threads, search_k = 3000
## 10:34:15 Annoy recall = 100%
## 10:34:15 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:34:16 Initializing from normalized Laplacian + noise (using irlba)
## 10:34:16 Commencing optimization for 500 epochs, with 337398 positive edges
## 10:34:29 Optimization finished
## [1] "UMAP Ã partir de 13 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 1 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9486
## Number of communities: 4
## Elapsed time: 1 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9213
## Number of communities: 6
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8952
## Number of communities: 8
## Elapsed time: 1 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8745
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8582
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8433
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8294
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8173
## Number of communities: 13
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8059
## Number of communities: 14
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7959
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7859
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7786
## Number of communities: 16
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8952
## Number of communities: 8
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:35:20 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:35:20 Read 8310 rows and found 13 numeric columns
## 10:35:20 Using Annoy for neighbor search, n_neighbors = 30
## 10:35:20 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:35:21 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b23913abd0
## 10:35:21 Searching Annoy index using 9 threads, search_k = 3000
## 10:35:21 Annoy recall = 100%
## 10:35:21 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:35:22 Initializing from normalized Laplacian + noise (using irlba)
## 10:35:22 Commencing optimization for 500 epochs, with 339124 positive edges
## 10:35:34 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8745
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:35:37 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:35:37 Read 8310 rows and found 13 numeric columns
## 10:35:37 Using Annoy for neighbor search, n_neighbors = 30
## 10:35:37 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:35:38 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b23a7501f6
## 10:35:38 Searching Annoy index using 9 threads, search_k = 3000
## 10:35:38 Annoy recall = 100%
## 10:35:38 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:35:39 Initializing from normalized Laplacian + noise (using irlba)
## 10:35:39 Commencing optimization for 500 epochs, with 339124 positive edges
## 10:35:52 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8582
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:35:54 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:35:54 Read 8310 rows and found 13 numeric columns
## 10:35:54 Using Annoy for neighbor search, n_neighbors = 30
## 10:35:54 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:35:55 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b257d3db75
## 10:35:55 Searching Annoy index using 9 threads, search_k = 3000
## 10:35:55 Annoy recall = 100%
## 10:35:55 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:35:56 Initializing from normalized Laplacian + noise (using irlba)
## 10:35:56 Commencing optimization for 500 epochs, with 339124 positive edges
## 10:36:09 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8433
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:36:11 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:36:11 Read 8310 rows and found 13 numeric columns
## 10:36:11 Using Annoy for neighbor search, n_neighbors = 30
## 10:36:11 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:36:12 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b215ed0b5f
## 10:36:12 Searching Annoy index using 9 threads, search_k = 3000
## 10:36:12 Annoy recall = 100%
## 10:36:12 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:36:13 Initializing from normalized Laplacian + noise (using irlba)
## 10:36:13 Commencing optimization for 500 epochs, with 339124 positive edges
## 10:36:26 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8294
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:36:28 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:36:28 Read 8310 rows and found 13 numeric columns
## 10:36:28 Using Annoy for neighbor search, n_neighbors = 30
## 10:36:28 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:36:29 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b27d859537
## 10:36:29 Searching Annoy index using 9 threads, search_k = 3000
## 10:36:29 Annoy recall = 100%
## 10:36:29 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:36:30 Initializing from normalized Laplacian + noise (using irlba)
## 10:36:30 Commencing optimization for 500 epochs, with 339124 positive edges
## 10:36:43 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 266313
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8173
## Number of communities: 13
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:36:45 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:36:45 Read 8310 rows and found 13 numeric columns
## 10:36:45 Using Annoy for neighbor search, n_neighbors = 30
## 10:36:45 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:36:46 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b24d078e42
## 10:36:46 Searching Annoy index using 9 threads, search_k = 3000
## 10:36:46 Annoy recall = 100%
## 10:36:46 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:36:47 Initializing from normalized Laplacian + noise (using irlba)
## 10:36:47 Commencing optimization for 500 epochs, with 339124 positive edges
## 10:37:00 Optimization finished
## [1] "UMAP Ã partir de 15 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9493
## Number of communities: 4
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9224
## Number of communities: 7
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8968
## Number of communities: 8
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8755
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8592
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8425
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8295
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8193
## Number of communities: 16
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8093
## Number of communities: 16
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7988
## Number of communities: 18
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7898
## Number of communities: 18
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7816
## Number of communities: 18
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8968
## Number of communities: 8
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:37:52 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:37:52 Read 8310 rows and found 15 numeric columns
## 10:37:52 Using Annoy for neighbor search, n_neighbors = 30
## 10:37:52 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:37:52 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b261c68c60
## 10:37:52 Searching Annoy index using 9 threads, search_k = 3000
## 10:37:52 Annoy recall = 100%
## 10:37:53 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:37:53 Initializing from normalized Laplacian + noise (using irlba)
## 10:37:53 Commencing optimization for 500 epochs, with 342634 positive edges
## 10:38:06 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8755
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:38:09 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:38:09 Read 8310 rows and found 15 numeric columns
## 10:38:09 Using Annoy for neighbor search, n_neighbors = 30
## 10:38:09 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:38:09 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2322a24c6
## 10:38:09 Searching Annoy index using 9 threads, search_k = 3000
## 10:38:10 Annoy recall = 100%
## 10:38:10 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:38:10 Initializing from normalized Laplacian + noise (using irlba)
## 10:38:10 Commencing optimization for 500 epochs, with 342634 positive edges
## 10:38:23 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8592
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:38:26 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:38:26 Read 8310 rows and found 15 numeric columns
## 10:38:26 Using Annoy for neighbor search, n_neighbors = 30
## 10:38:26 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:38:27 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b26cd45ce4
## 10:38:27 Searching Annoy index using 9 threads, search_k = 3000
## 10:38:27 Annoy recall = 100%
## 10:38:27 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:38:28 Initializing from normalized Laplacian + noise (using irlba)
## 10:38:28 Commencing optimization for 500 epochs, with 342634 positive edges
## 10:38:41 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8425
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:38:43 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:38:43 Read 8310 rows and found 15 numeric columns
## 10:38:43 Using Annoy for neighbor search, n_neighbors = 30
## 10:38:43 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:38:44 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b26a1eb48d
## 10:38:44 Searching Annoy index using 9 threads, search_k = 3000
## 10:38:44 Annoy recall = 100%
## 10:38:44 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:38:45 Initializing from normalized Laplacian + noise (using irlba)
## 10:38:45 Commencing optimization for 500 epochs, with 342634 positive edges
## 10:38:58 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8295
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:39:00 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:39:00 Read 8310 rows and found 15 numeric columns
## 10:39:00 Using Annoy for neighbor search, n_neighbors = 30
## 10:39:00 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:39:01 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b25dfcb69
## 10:39:01 Searching Annoy index using 9 threads, search_k = 3000
## 10:39:01 Annoy recall = 100%
## 10:39:01 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:39:02 Initializing from normalized Laplacian + noise (using irlba)
## 10:39:02 Commencing optimization for 500 epochs, with 342634 positive edges
## 10:39:15 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 269940
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8193
## Number of communities: 16
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:39:17 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:39:17 Read 8310 rows and found 15 numeric columns
## 10:39:17 Using Annoy for neighbor search, n_neighbors = 30
## 10:39:17 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:39:18 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b227a35d82
## 10:39:18 Searching Annoy index using 9 threads, search_k = 3000
## 10:39:18 Annoy recall = 100%
## 10:39:18 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:39:19 Initializing from normalized Laplacian + noise (using irlba)
## 10:39:19 Commencing optimization for 500 epochs, with 342634 positive edges
## 10:39:32 Optimization finished
## [1] "UMAP Ã partir de 17 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 1 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9495
## Number of communities: 4
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9225
## Number of communities: 7
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8967
## Number of communities: 8
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8747
## Number of communities: 9
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8587
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8428
## Number of communities: 13
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8287
## Number of communities: 13
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8163
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8052
## Number of communities: 17
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7955
## Number of communities: 18
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7870
## Number of communities: 19
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7791
## Number of communities: 19
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8967
## Number of communities: 8
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:40:24 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:40:24 Read 8310 rows and found 17 numeric columns
## 10:40:24 Using Annoy for neighbor search, n_neighbors = 30
## 10:40:24 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:40:25 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b273edd3ad
## 10:40:25 Searching Annoy index using 9 threads, search_k = 3000
## 10:40:25 Annoy recall = 100%
## 10:40:25 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:40:26 Initializing from normalized Laplacian + noise (using irlba)
## 10:40:26 Commencing optimization for 500 epochs, with 344520 positive edges
## 10:40:39 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8747
## Number of communities: 9
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:40:42 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:40:42 Read 8310 rows and found 17 numeric columns
## 10:40:42 Using Annoy for neighbor search, n_neighbors = 30
## 10:40:42 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:40:42 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b22e43e51
## 10:40:42 Searching Annoy index using 9 threads, search_k = 3000
## 10:40:43 Annoy recall = 100%
## 10:40:43 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:40:44 Initializing from normalized Laplacian + noise (using irlba)
## 10:40:44 Commencing optimization for 500 epochs, with 344520 positive edges
## 10:40:57 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8587
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:40:59 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:40:59 Read 8310 rows and found 17 numeric columns
## 10:40:59 Using Annoy for neighbor search, n_neighbors = 30
## 10:40:59 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:41:00 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b256b73952
## 10:41:00 Searching Annoy index using 9 threads, search_k = 3000
## 10:41:00 Annoy recall = 100%
## 10:41:00 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:41:01 Initializing from normalized Laplacian + noise (using irlba)
## 10:41:01 Commencing optimization for 500 epochs, with 344520 positive edges
## 10:41:14 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8428
## Number of communities: 13
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:41:17 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:41:17 Read 8310 rows and found 17 numeric columns
## 10:41:17 Using Annoy for neighbor search, n_neighbors = 30
## 10:41:17 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:41:17 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2171462f8
## 10:41:17 Searching Annoy index using 9 threads, search_k = 3000
## 10:41:17 Annoy recall = 100%
## 10:41:18 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:41:18 Initializing from normalized Laplacian + noise (using irlba)
## 10:41:18 Commencing optimization for 500 epochs, with 344520 positive edges
## 10:41:31 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8287
## Number of communities: 13
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:41:34 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:41:34 Read 8310 rows and found 17 numeric columns
## 10:41:34 Using Annoy for neighbor search, n_neighbors = 30
## 10:41:34 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:41:34 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b23b6d939e
## 10:41:34 Searching Annoy index using 9 threads, search_k = 3000
## 10:41:35 Annoy recall = 100%
## 10:41:35 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:41:36 Initializing from normalized Laplacian + noise (using irlba)
## 10:41:36 Commencing optimization for 500 epochs, with 344520 positive edges
## 10:41:49 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 274340
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8163
## Number of communities: 15
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:41:51 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:41:51 Read 8310 rows and found 17 numeric columns
## 10:41:51 Using Annoy for neighbor search, n_neighbors = 30
## 10:41:51 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:41:52 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b216f6888d
## 10:41:52 Searching Annoy index using 9 threads, search_k = 3000
## 10:41:52 Annoy recall = 100%
## 10:41:52 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:41:53 Initializing from normalized Laplacian + noise (using irlba)
## 10:41:53 Commencing optimization for 500 epochs, with 344520 positive edges
## 10:42:06 Optimization finished
## [1] "UMAP Ã partir de 19 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9493
## Number of communities: 5
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9226
## Number of communities: 6
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8966
## Number of communities: 8
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8737
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8571
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8410
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8256
## Number of communities: 13
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8132
## Number of communities: 16
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8031
## Number of communities: 17
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7924
## Number of communities: 18
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7838
## Number of communities: 19
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7761
## Number of communities: 19
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8966
## Number of communities: 8
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:42:59 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:42:59 Read 8310 rows and found 19 numeric columns
## 10:42:59 Using Annoy for neighbor search, n_neighbors = 30
## 10:42:59 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:42:59 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b25d13e600
## 10:42:59 Searching Annoy index using 9 threads, search_k = 3000
## 10:42:59 Annoy recall = 100%
## 10:43:00 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:43:00 Initializing from normalized Laplacian + noise (using irlba)
## 10:43:00 Commencing optimization for 500 epochs, with 345764 positive edges
## 10:43:14 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8737
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:43:16 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:43:16 Read 8310 rows and found 19 numeric columns
## 10:43:16 Using Annoy for neighbor search, n_neighbors = 30
## 10:43:16 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:43:17 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2456139bd
## 10:43:17 Searching Annoy index using 9 threads, search_k = 3000
## 10:43:17 Annoy recall = 100%
## 10:43:17 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:43:18 Initializing from normalized Laplacian + noise (using irlba)
## 10:43:18 Commencing optimization for 500 epochs, with 345764 positive edges
## 10:43:31 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8571
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:43:34 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:43:34 Read 8310 rows and found 19 numeric columns
## 10:43:34 Using Annoy for neighbor search, n_neighbors = 30
## 10:43:34 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:43:34 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b27215cae0
## 10:43:34 Searching Annoy index using 9 threads, search_k = 3000
## 10:43:34 Annoy recall = 100%
## 10:43:35 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:43:35 Initializing from normalized Laplacian + noise (using irlba)
## 10:43:35 Commencing optimization for 500 epochs, with 345764 positive edges
## 10:43:49 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8410
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:43:51 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:43:51 Read 8310 rows and found 19 numeric columns
## 10:43:51 Using Annoy for neighbor search, n_neighbors = 30
## 10:43:51 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:43:52 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b274ba72a3
## 10:43:52 Searching Annoy index using 9 threads, search_k = 3000
## 10:43:52 Annoy recall = 100%
## 10:43:52 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:43:53 Initializing from normalized Laplacian + noise (using irlba)
## 10:43:53 Commencing optimization for 500 epochs, with 345764 positive edges
## 10:44:06 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8256
## Number of communities: 13
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:44:09 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:44:09 Read 8310 rows and found 19 numeric columns
## 10:44:09 Using Annoy for neighbor search, n_neighbors = 30
## 10:44:09 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:44:09 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b27cbc6733
## 10:44:09 Searching Annoy index using 9 threads, search_k = 3000
## 10:44:09 Annoy recall = 100%
## 10:44:10 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:44:10 Initializing from normalized Laplacian + noise (using irlba)
## 10:44:11 Commencing optimization for 500 epochs, with 345764 positive edges
## 10:44:24 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 276137
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8132
## Number of communities: 16
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:44:26 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:44:26 Read 8310 rows and found 19 numeric columns
## 10:44:26 Using Annoy for neighbor search, n_neighbors = 30
## 10:44:26 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:44:27 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2351b853f
## 10:44:27 Searching Annoy index using 9 threads, search_k = 3000
## 10:44:27 Annoy recall = 100%
## 10:44:27 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:44:28 Initializing from normalized Laplacian + noise (using irlba)
## 10:44:28 Commencing optimization for 500 epochs, with 345764 positive edges
## 10:44:41 Optimization finished
## [1] "UMAP Ã partir de 21 CP"## Warning: Strategy 'multiprocess' is deprecated in future (>= 1.20.0)
## [2020-10-30]. Instead, explicitly specify either 'multisession' (recommended) or
## 'multicore'. In the current R session, 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 1.0000
## Number of communities: 1
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9486
## Number of communities: 4
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.9218
## Number of communities: 7
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8962
## Number of communities: 8
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8742
## Number of communities: 10
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8580
## Number of communities: 11
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8420
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8264
## Number of communities: 12
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8130
## Number of communities: 15
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8011
## Number of communities: 17
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7916
## Number of communities: 19
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7830
## Number of communities: 19
## Elapsed time: 0 seconds
## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.7749
## Number of communities: 20
## Elapsed time: 0 seconds## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8962
## Number of communities: 8
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:45:33 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:45:33 Read 8310 rows and found 21 numeric columns
## 10:45:33 Using Annoy for neighbor search, n_neighbors = 30
## 10:45:33 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:45:34 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b23e5bb2df
## 10:45:34 Searching Annoy index using 9 threads, search_k = 3000
## 10:45:34 Annoy recall = 100%
## 10:45:34 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:45:35 Initializing from normalized Laplacian + noise (using irlba)
## 10:45:35 Commencing optimization for 500 epochs, with 347106 positive edges
## 10:45:48 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8742
## Number of communities: 10
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:45:51 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:45:51 Read 8310 rows and found 21 numeric columns
## 10:45:51 Using Annoy for neighbor search, n_neighbors = 30
## 10:45:51 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:45:51 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2763c6e74
## 10:45:51 Searching Annoy index using 9 threads, search_k = 3000
## 10:45:51 Annoy recall = 100%
## 10:45:52 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:45:52 Initializing from normalized Laplacian + noise (using irlba)
## 10:45:53 Commencing optimization for 500 epochs, with 347106 positive edges
## 10:46:06 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8580
## Number of communities: 11
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:46:08 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:46:08 Read 8310 rows and found 21 numeric columns
## 10:46:08 Using Annoy for neighbor search, n_neighbors = 30
## 10:46:08 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:46:09 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b27977be50
## 10:46:09 Searching Annoy index using 9 threads, search_k = 3000
## 10:46:09 Annoy recall = 100%
## 10:46:09 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:46:10 Initializing from normalized Laplacian + noise (using irlba)
## 10:46:10 Commencing optimization for 500 epochs, with 347106 positive edges
## 10:46:23 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8420
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:46:26 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:46:26 Read 8310 rows and found 21 numeric columns
## 10:46:26 Using Annoy for neighbor search, n_neighbors = 30
## 10:46:26 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:46:26 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b2246fb47d
## 10:46:26 Searching Annoy index using 9 threads, search_k = 3000
## 10:46:27 Annoy recall = 100%
## 10:46:27 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:46:28 Initializing from normalized Laplacian + noise (using irlba)
## 10:46:28 Commencing optimization for 500 epochs, with 347106 positive edges
## 10:46:41 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8264
## Number of communities: 12
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:46:44 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:46:44 Read 8310 rows and found 21 numeric columns
## 10:46:44 Using Annoy for neighbor search, n_neighbors = 30
## 10:46:44 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:46:44 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b221b28d3b
## 10:46:44 Searching Annoy index using 9 threads, search_k = 3000
## 10:46:44 Annoy recall = 100%
## 10:46:45 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:46:45 Initializing from normalized Laplacian + noise (using irlba)
## 10:46:45 Commencing optimization for 500 epochs, with 347106 positive edges
## 10:46:58 Optimization finished
## Warning: Detected creation of a 'multiprocess' future. Strategy 'multiprocess'
## is deprecated in future (>= 1.20.0) [2020-10-30]. Instead, explicitly specify
## either 'multisession' (recommended) or 'multicore'. In the current R session,
## 'multiprocess' equals 'multisession'.## Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
##
## Number of nodes: 8310
## Number of edges: 279687
##
## Running Louvain algorithm...
## Maximum modularity in 10 random starts: 0.8130
## Number of communities: 15
## Elapsed time: 0 seconds## Warning: UNRELIABLE VALUE: One of the 'future.apply' iterations
## ('future_lapply-1') unexpectedly generated random numbers without declaring so.
## There is a risk that those random numbers are not statistically sound and the
## overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This
## ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-
## CMRG method. To disable this check, use 'future.seed = NULL', or set option
## 'future.rng.onMisuse' to "ignore".## 10:47:01 UMAP embedding parameters a = 0.9922 b = 1.112
## 10:47:01 Read 8310 rows and found 21 numeric columns
## 10:47:01 Using Annoy for neighbor search, n_neighbors = 30
## 10:47:01 Building Annoy index with metric = cosine, n_trees = 50
## 0% 10 20 30 40 50 60 70 80 90 100%
## [----|----|----|----|----|----|----|----|----|----|
## **************************************************|
## 10:47:01 Writing NN index file to temp file /var/folders/2h/43w_ny0s7zj2hjdp5tn1bjjh0000gn/T//RtmpGVlGht/file60b251562dc5
## 10:47:01 Searching Annoy index using 9 threads, search_k = 3000
## 10:47:02 Annoy recall = 100%
## 10:47:02 Commencing smooth kNN distance calibration using 9 threads with target n_neighbors = 30
## 10:47:03 Initializing from normalized Laplacian + noise (using irlba)
## 10:47:03 Commencing optimization for 500 epochs, with 347106 positive edges
## 10:47:16 Optimization finished
